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learning and one PhD student with a keen interest in the algorithmic side of hyperbolic deep learning. Tasks and responsibilities: Conduct high-impact research on hyperbolic deep learning for computer vision
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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, Logistics and Information Systems The PhD programme in Business Processes, Logistics and Information Systems aims to be at the forefront of developments in Logistics and Supply Chain management in interaction
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18 Nov 2025 Job Information Organisation/Company Transilvania University of Brasov Research Field Computer science Information science Geosciences Environmental science Researcher Profile First
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Quantum Information Processing in Networks. The stipend is
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diversity dimensions to the university. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal
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to develop a mechanical contact processing model that can estimate contact information from sensors embedded in soft elastomer. Key Objectives and Challenges of this PhD Position Include: Design contact
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 28 days ago
, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans and animals shape and behavior. In the Eye
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This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University of Twente and the